Yan Xu
Yan Xu
Professor of biological science and medical engineering, beihang university
Verified email at
Cited by
Cited by
Deep learning of feature representation with multiple instance learning for medical image analysis
Y Xu, T Mo, Q Feng, P Zhong, M Lai, I Eric, C Chang
2014 IEEE international conference on acoustics, speech and signal …, 2014
Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features
Y Xu, Z Jia, LB Wang, Y Ai, F Zhang, M Lai, EIC Chang
BMC bioinformatics 18, 1-17, 2017
Weakly supervised histopathology cancer image segmentation and classification
Y Xu, JY Zhu, I Eric, C Chang, M Lai, Z Tu
Medical image analysis 18 (3), 591-604, 2014
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
Constrained deep weak supervision for histopathology image segmentation
Z Jia, X Huang, I Eric, C Chang, Y Xu
IEEE transactions on medical imaging 36 (11), 2376-2388, 2017
Recursive cascaded networks for unsupervised medical image registration
S Zhao, Y Dong, EI Chang, Y Xu
Proceedings of the IEEE International Conference on Computer Vision, 10600-10610, 2019
Large scale image completion via co-modulated generative adversarial networks
S Zhao, J Cui, Y Sheng, Y Dong, X Liang, EI Chang, Y Xu
International Conference on Learning Representations (ICLR) 2021, 2021
Unsupervised 3D end-to-end medical image registration with volume tweening network
S Zhao, T Lau, J Luo, I Eric, C Chang, Y Xu
IEEE journal of biomedical and health informatics 24 (5), 1394-1404, 2019
Maskflownet: Asymmetric feature matching with learnable occlusion mask
S Zhao, Y Sheng, Y Dong, EI Chang, Y Xu
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Deep convolutional activation features for large scale brain tumor histopathology image classification and segmentation
Y Xu, Z Jia, Y Ai, F Zhang, M Lai, I Eric, C Chang
2015 IEEE international conference on acoustics, speech and signal …, 2015
Unsupervised object class discovery via saliency-guided multiple class learning
JY Zhu, J Wu, Y Xu, E Chang, Z Tu
IEEE transactions on pattern analysis and machine intelligence 37 (4), 862-875, 2014
Gland instance segmentation using deep multichannel neural networks
Y Xu, Y Li, Y Wang, M Liu, Y Fan, M Lai, I Eric, C Chang
IEEE Transactions on Biomedical Engineering 64 (12), 2901-2912, 2017
MRI cross-modality image-to-image translation
Q Yang, N Li, Z Zhao, X Fan, EIC Chang, Y Xu
Scientific reports 10 (1), 3753, 2020
Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering
Y Xu, JY Zhu, E Chang, Z Tu
2012 IEEE Conference on Computer Vision and Pattern Recognition, 964-971, 2012
Gland instance segmentation by deep multichannel side supervision
Y Xu, Y Li, M Liu, Y Wang, M Lai, I Eric, C Chang
International Conference on Medical Image Computing and Computer-Assisted …, 2016
Feature engineering combined with machine learning and rule-based methods for structured information extraction from narrative clinical discharge summaries
Y Xu, K Hong, J Tsujii, EIC Chang
Journal of the American Medical Informatics Association 19 (5), 824-832, 2012
Unsupervised learning for cell-level visual representation in histopathology images with generative adversarial networks
B Hu, Y Tang, I Eric, C Chang, Y Fan, M Lai, Y Xu
IEEE journal of biomedical and health informatics 23 (3), 1316-1328, 2018
Deep learning in digital pathology image analysis: a survey
S Deng, X Zhang, W Yan, EIC Chang, Y Fan, M Lai, Y Xu
Frontiers of medicine 14, 470-487, 2020
ANHIR: automatic non-rigid histological image registration challenge
J Borovec, J Kybic, I Arganda-Carreras, DV Sorokin, G Bueno, ...
IEEE transactions on medical imaging 39 (10), 3042-3052, 2020
Volumetric topological analysis: a novel approach for trabecular bone classification on the continuum between plates and rods
PK Saha, Y Xu, H Duan, A Heiner, G Liang
IEEE transactions on medical imaging 29 (11), 1821-1838, 2010
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